Job Summary
The position involves the design, construction, and upkeep of scalable batch and streaming data pipelines, utilizing Azure Databricks while adhering to contemporary engineering methodologies. This role also entails working alongside cross-functional teams to provide governed, high-quality data solutions that align with enterprise analytics and business needs.
Responsibilities
- Design and implement scalable data pipelines for batch and streaming data.
- Maintain and optimize existing data pipeline architectures.
- Collaborate with diverse teams to ensure data products meet business and analytics requirements.
- Ensure high standards of data governance and quality throughout the pipeline process.
- Utilize Azure Databricks for data engineering solutions.
Qualifications
- Minimum of 5 years of professional experience in data or software engineering.
- Strong expertise in Python, SQL, and Spark.
- Bachelor’s degree in a technical discipline.
- Experience with CI/CD practices.
- Familiarity with data modeling and modern lakehouse architectures.
Harman provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
